Patient privacy and security concerns on big data for personalized medicine

2016 ◽  
Vol 6 (1) ◽  
pp. 75-81 ◽  
Author(s):  
B. Blobel ◽  
D. M. Lopez ◽  
C. Gonzalez
Keyword(s):  
Big Data ◽  
Personalized Medicine ◽  
Patient Privacy ◽  
Privacy And Security ◽  
Security Concerns

Privacy Preserving Data Publishing Anonymization Methods for Limiting Malicious Attacks in Healthcare Records

2019 ◽  
Vol 16 (8) ◽  
pp. 3538-3543
Author(s):  
Adegunwa ◽  
Oluwabiyi Akinkunmi ◽  
Muhammad Ehsan Rana
Keyword(s):  
Big Data ◽  
Original Data ◽  
Privacy Preserving ◽  
Data Publishing ◽  
Patient Privacy ◽  
Malicious Attacks ◽  
Privacy And Security ◽  
Health Records ◽  
Privacy Preserving Data Publishing ◽  
Operational Processes

In recent times, especially since the beginning of the new millennium, governments, industry players, IT firms and business enterprises have given more consideration to the use of data for their decision and operational processes. This data, that usually contain users, clients and customers’ information, is collected using varying infrastructure, instruments and techniques. The technological breakthroughs in the health industry and the digitalization of medical records i.e., transformation into Electronic Health Records (EHRs) brings about the possibilities of accessing health records in real-time anywhere through the use of big data, aimed at reducing cost and increasing profits within the healthcare industry. However with this advancement, threats to the privacy and security of healthcare records have inevitably creeped in because of malicious attacks. This paper is directed at addressing privacy and security related issues associated with big data i.e., Privacy Preserving Data Publishing (PPDP) methods useful for the medical world. It seeks to explore various possible methods and techniques that can render data anonymously by using anonymization processes i.e., untraceable to the original data owners. This restricts the possibilities of patient privacy infraction by malicious elements, while making the data available for analytical purposes. The anonymization process here is achieved through data publishers who stand as a middleman between data owners and the data recipient and ensures that the privacy of data owners is preserved at all times.

scholarly journals CDSP: A Solution for Privacy and Security of Multimedia Information Processing in Industrial Big Data and Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 556
Author(s):  
Xu Yang ◽  
Yumin Hou ◽  
Junping Ma ◽  
Hu He
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Multimedia Data ◽  
Security Issue ◽  
Privacy And Security ◽  
Industrial Big Data ◽  
Security Concerns ◽  
Signal Processor

With the widespread nature of wireless internet and internet of things, data have bloomed everywhere. Under the scenario of big data processing, privacy and security concerns become a very important consideration. This work focused on an approach to tackle the privacy and security issue of multimedia data/information in the internet of things domain. A solution based on Cryptographical Digital Signal Processor (CDSP), a Digital Signal Processor (DSP) based platform combined with dedicated instruction extension, has been proposed, to provide both programming flexibility and performance. We have evaluated CDSP, and the results show that the algorithms implemented on CDSP all have good performance. We have also taped out the platform designed for privacy and security concerns of multimedia transferring system based on CDSP. Using TSMC 55 nm technology, it could reach the speed of 360 MHz. Benefiting from its programmability, CDSP can be easily expanded to support more algorithms in this domain.

scholarly journals Will Big Data and personalized medicine do the gender dimension justice?

AI & Society ◽  
2021 ◽  
Author(s):  
Antonio Carnevale ◽  
Emanuela A. Tangari ◽  
Andrea Iannone ◽  
Elena Sartini
Keyword(s):  
Big Data ◽  
Personalized Medicine ◽  
And Personalized Medicine

scholarly journals E-Government users’ privacy and security concerns and availability of laws in Dubai

2014 ◽  
Vol 28 (3) ◽  
pp. 261-276 ◽  
Author(s):  
Jawahitha Sarabdeen ◽  
Gwendolyn Rodrigues ◽  
Sreejith Balasubramanian
Keyword(s):  
Privacy And Security ◽  
Security Concerns

scholarly journals (P1-20) Disasters and Women's Health: The 2010 Earthquake in Haiti

2011 ◽  
Vol 26 (S1) ◽  
pp. s105-s105 ◽  
Author(s):  
C. Bloem ◽  
A. Miller
Keyword(s):  
Women’S Health ◽  
Women's Health ◽  
Patient Privacy ◽  
Gender Based Violence ◽  
Treatment Access ◽  
Vaginal Infections ◽  
Privacy And Security ◽  
Gender Based ◽  
Gender Specific ◽  
Organization Communication

BackgroundRecent reports have highlighted the health disparities that women and other vulnerable populations experience following disasters. Humanitarian groups have struggled to implement effective measures to mitigate such disparities during subsequent disasters.ObjectivesTo analyze and provide practical solutions to mitigate barrier's to women's health encountered in Haiti following the 7.0 magnitude earthquake in January 2010.MethodsIn February 2010, a New York based team of emergency and international medicine specialists staffed the mobile emergency department in Port au Prince at L'Hôpital de l'Université d'Etat d'Haïti.ResultsCommon presentations included infectious diseases, traumatic injuries, chronic disease exacerbations, and follow-up for earthquake-associated conditions. Female gender-specific problems included vaginal infections, breast pain or masses, pregnancy-related concerns, and the effects of gender-based violence. Identified barriers to effective gender-specific care included communication, camp geography, supply availability, and poor inter-organization communication.DiscussionRecent disasters in Haiti, Pakistan, and elsewhere have challenged the international health community to provide gender-balanced healthcare in sub-optimal environments. Much room for improvement remains. Although our assessment team was gender-balanced, improved incorporation of Haitian personnel may have enhanced patient trust, and improved cultural sensitivity and communication. Camp geography should foster both patient privacy and security during sensitive examinations. This could have been improved upon by geographically separating men's and women's treatment areas and using a barrier screen to generate a more private examination environment. Women's health supplies must include an appropriate exam table, emergency obstetrical and midwifery supplies, urine dipsticks, and sanitary and reproductive health supplies. A referral system must be established for patients requiring a higher level-of-care. Lastly, improved inter-organization communication and promotion of resource pooling may improve treatment access and quality for select gender-based interventions.ConclusionSimple inexpensive modifications to organized post-disaster medical relief settings may dramatically reduce gender-based healthcare disparities.

scholarly journals Solutions to Big Data Privacy and Security Challenges Associated With COVID-19 Surveillance Systems

2021 ◽  
Vol 4 ◽  
Author(s):  
Vibhushinie Bentotahewa ◽  
Chaminda Hewage ◽  
Jason Williams
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Personal Data ◽  
Surveillance Systems ◽  
Privacy Rights ◽  
Personal Privacy ◽  
Privacy And Security ◽  
Digital Surveillance ◽  
Feasible Solutions ◽  
The Impact

The growing dependency on digital technologies is becoming a way of life, and at the same time, the collection of data using them for surveillance operations has raised concerns. Notably, some countries use digital surveillance technologies for tracking and monitoring individuals and populations to prevent the transmission of the new coronavirus. The technology has the capacity to contribute towards tackling the pandemic effectively, but the success also comes at the expense of privacy rights. The crucial point to make is regardless of who uses and which mechanism, in one way another will infringe personal privacy. Therefore, when considering the use of technologies to combat the pandemic, the focus should also be on the impact of facial recognition cameras, police surveillance drones, and other digital surveillance devices on the privacy rights of those under surveillance. The GDPR was established to ensure that information could be shared without causing any infringement on personal data and businesses; therefore, in generating Big Data, it is important to ensure that the information is securely collected, processed, transmitted, stored, and accessed in accordance with established rules. This paper focuses on Big Data challenges associated with surveillance methods used within the COVID-19 parameters. The aim of this research is to propose practical solutions to Big Data challenges associated with COVID-19 pandemic surveillance approaches. To that end, the researcher will identify the surveillance measures being used by countries in different regions, the sensitivity of generated data, and the issues associated with the collection of large volumes of data and finally propose feasible solutions to protect the privacy rights of the people, during the post-COVID-19 era.

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